Multimedia Tools and Applications

In the last years, due to the availability and easy of use of image editing tools, a large amount of fake and altered images have been produced and spread through the media and the Web. A lot of different approaches have been proposed in order to ...

Cloud computing is still in its infancy as a commercial platform, therefore it tries to address the needs of a large number of users by utilising virtualization. However, existing virtualization identify intrusion, do not account for changes in ...

While the evolution of mobile computing is experiencing considerable growth, it is at the same time seriously threatened by the limitations of battery technology, which does not keep pace with the evergrowing increase in energy requirements of ...

In this paper, we design a novel chaotic mapping and use it to devise a bit-level image encryption algorithm which provides security against chosen plaintext attacks, or CPA-security for short. We also study various properties of the proposed ...

The size of medical image repositories is continuously growing due to the widespread use of digital imaging data in hospitals. This overlays the way for more medical records to be stored in the future. An effective image retrieval system must be ...

In the last decade, drowsiness while driving has been identified as a major factor behind a large number of fatal traffic accidents around the world. This highly prevalent problem has caused significant loss of life, injuries, property damage, and ...

Classical one-dimensional chaotic map has many ideal characteristics which is quite suitable for many different kinds of scientific fields, especially cryptography. In this paper, we propose an idea of constructing high-dimensional (HD) cyclic ...

Digital images have become widespread in modern life, and they can be modified and produced using an inclusive range of software and hardware tools. Since, digital image forgery can be extremely damaging, thus, understanding the detection and ...

Stock market trend prediction has always been a major challenge for investors. In this paper, the combination of Convolutional Neural Network and long short-term memory methods, as well as fundamental analysis components such as P/E ratio, ...

This paper constructs and analyzes the dynamical properties of a new fractional-order real hyper-chaotic system and its corresponding complex variable system. A thorough analysis was done by employing stability of equilibrium points, phase plots, ...

Scene text detection methods based on deep segmentation techniques have achieved promising performances over the past years. However, there are still some challenges for accurately detecting arbitrary shape text instances, especially for those of ...

Solving real world problems with large numbers of constraints and complex optimization functions is a challenging issue. For such problems, meta-heuristic algorithms are able to provide near optimal solutions. Shuffled Frog Leaping Algorithm(SFLA) ...

Brain-Computer Interface (BCI) research is considered one of the significant interdisciplinary fields. It assists people with severe motor disabilities to recover and improve their motor actions through rehabilitation sessions using Motor Imagery (...

Directly conveying human visual perception of image quality, the mean opinion score (MOS) has traditionally been the cornerstone of blind image quality assessment (BIQA) training. However, attempt to solve the inter-dataset differences of MOS was ...

The COVID-19 pandemic has contributed to the production of a mobile learning app--the Superstar Learning System. Designed by Superstar Company, the Superstar Learning System is a mobile application for curriculum learning assisted with PPTs, ...

In this work, a Deep Convolutional Neural Network (DCNN) framework for Alzheimer’s Disease (AD) diagnosis based on brain Magnetic Resonance Imaging (MRI) scans is presented. A multiclass DCNN classifier is used to discriminate between Normal ...

In literature, various metaheuristic approaches such as Genetic Search Algorithm (GSA), has been adopted for finding the sub-optimal solution to a wide range of optimization problems. The main challenges in adopting GSA is the formulation of a ...

The existing architectures used in the multiparty audio conferencing systems are typically categorized as either centralized or decentralized. These architectures expose a trade-off between processing latency and system capacity, namely the number ...

Breast cancer is one of the substantial diseases that affect millions of females each year also the velocity of affected individuals is rising every year. Timely recognition of the illness is the only feasible solution to reduce its influence of ...

The analysis of brain tumors plays a significant role in medical applications and provides a huge amount of anatomic and functional information. Automatic tumor segmentation is one of the most challenging issues among radiologists and other ...

Timely and accurate Breast Cancer (BC) prediction allows healthcare providers and doctors to take suitable decisions to treat the patients. Thus, this study employed a strategy based on Deep Learning (DL) to diagnose BC. The study intends to ...

In this paper, we propose a kernel ensemble SVM with integrated loss in shared parameters space. Different from the traditional multiple kernel learning methods of seeking linear combinations of basis kernels as a unified kernel, the proposed ...

This paper introduces a Partial Face Recognition (PFR) method with the benefits of optimization logic using an optimized feature matching aspect. Besides, for better recognition, the Sparse Representation Classification (SRC) and Fully ...

The digital image proves critical evidence in the fields like forensic investigation, criminal investigation, intelligence systems, medical imaging, insurance claims, and journalism to name a few. Images are an authentic source of information on ...

The monitoring of road surfaces is a critical thing in transport infrastructure management. The manual reporting process increases the processing delay and causes challenges in accuracy. Detecting road surface damages is important for improving ...

The fast evolution of the Internet of Things (IoT) marketplace demands real-time interactive services. Cloud computing systems aim to harness remote data center-based computing resources to perform these services instantly. However, these cloud ...

To date, there has been relatively little research in the field of credit risk analysis that compares all of the well known statistical, optimization technique (heuristic methods) and machine learning based approaches in a single article. Review ...

The risk-based access control model is one of the dynamic models that use the security risk as a criterion to decide the access decision for each access request. This model permits or denies access requests dynamically based on the estimated risk ...

The various essential morphological land features are represented in a scale-governed map called a topographic sheet. One of the crucial features presented in the topographic sheet often used in Geographical Information System (GIS) based ...

Call Detail Record (CDR) is the detailed record of all the telephonic calls that pass through a telephone exchange or any other telecommunications equipment. It contains temporal and spatial data, and can also convey other information that would ...